[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/napari_matplotlib/features.py

@@ -6,4 +6,4 @@
     Shapes,
     Tracks,
     Vectors,
-)
+)

src/napari_matplotlib/histogram.py

@@ -1,13 +1,13 @@
-from typing import Optional, List, Tuple, Any
-import numpy.typing as npt
+from typing import Any, List, Optional, Tuple
 
 import napari
 import numpy as np
+import numpy.typing as npt
 from qtpy.QtWidgets import QComboBox, QLabel, QVBoxLayout, QWidget
 
 from .base import SingleAxesWidget
-from .util import Interval
 from .features import FEATURES_LAYER_TYPES
+from .util import Interval
 
 __all__ = ["HistogramWidget", "FeaturesHistogramWidget"]
 
@@ -64,22 +64,26 @@ class FeaturesHistogramWidget(SingleAxesWidget):
     """
     Display a histogram of selected feature attached to selected layer.
     """
+
     n_layers_input = Interval(1, 1)
     # All layers that have a .features attributes
     input_layer_types = FEATURES_LAYER_TYPES
 
     def __init__(
-            self,
-            napari_viewer: napari.viewer.Viewer,
-            parent: Optional[QWidget] = None,):
+        self,
+        napari_viewer: napari.viewer.Viewer,
+        parent: Optional[QWidget] = None,
+    ):
         super().__init__(napari_viewer, parent=parent)
 
         self.layout().addLayout(QVBoxLayout())
         self._key_selection_widget = QComboBox()
         self.layout().addWidget(QLabel("Key:"))
         self.layout().addWidget(self._key_selection_widget)
 
-        self._key_selection_widget.currentTextChanged.connect(self._set_axis_keys)
+        self._key_selection_widget.currentTextChanged.connect(
+            self._set_axis_keys
+        )
 
         self._update_layers(None)
 
@@ -132,10 +136,7 @@ def _get_data(self) -> Tuple[npt.NDArray[Any], str]:
 
         feature_table = self.layers[0].features
 
-        if (
-            (len(feature_table) == 0)
-            or (self.x_axis_key is None)
-        ):
+        if (len(feature_table) == 0) or (self.x_axis_key is None):
             return [], ""
 
         data = feature_table[self.x_axis_key]
@@ -156,15 +157,13 @@ def on_update_layers(self) -> None:
 
     def draw(self) -> None:
         """Clear the axes and histogram the currently selected layer/slice."""
-
         data, x_axis_name = self._get_data()
 
         if len(data) == 0:
             return
 
-        self.axes.hist(data, bins=50, edgecolor='white',
-                       linewidth=0.3)
+        self.axes.hist(data, bins=50, edgecolor="white", linewidth=0.3)
 
         # set ax labels
         self.axes.set_xlabel(x_axis_name)
-        self.axes.set_ylabel('Counts [#]')
+        self.axes.set_ylabel("Counts [#]")

src/napari_matplotlib/scatter.py

@@ -5,11 +5,10 @@
 from qtpy.QtWidgets import QComboBox, QLabel, QVBoxLayout, QWidget
 
 from .base import SingleAxesWidget
-from .util import Interval
 from .features import FEATURES_LAYER_TYPES
+from .util import Interval
 
-__all__ = ["ScatterBaseWidget", "ScatterWidget",
-           "FeaturesScatterWidget"]
+__all__ = ["ScatterBaseWidget", "ScatterWidget", "FeaturesScatterWidget"]
 
 
 class ScatterBaseWidget(SingleAxesWidget):

src/napari_matplotlib/tests/test_histogram.py

@@ -2,7 +2,7 @@
 
 import pytest
 
-from napari_matplotlib import HistogramWidget, FeaturesHistogramWidget
+from napari_matplotlib import FeaturesHistogramWidget, HistogramWidget
 from napari_matplotlib.tests.helpers import (
     assert_figures_equal,
     assert_figures_not_equal,
@@ -35,7 +35,6 @@ def test_histogram_3D(make_napari_viewer, brain_data):
 
 
 def test_feature_histogram(make_napari_viewer):
-
     import numpy as np
 
     n_points = 1000
@@ -44,21 +43,25 @@ def test_feature_histogram(make_napari_viewer):
     feature2 = np.random.normal(size=n_points)
 
     viewer = make_napari_viewer()
-    viewer.add_points(random_points,
-                      properties={'feature1': feature1, 'feature2': feature2},
-                      name='points1')
-    viewer.add_points(random_points,
-                      properties={'feature1': feature1, 'feature2': feature2},
-                      name='points2')
+    viewer.add_points(
+        random_points,
+        properties={"feature1": feature1, "feature2": feature2},
+        name="points1",
+    )
+    viewer.add_points(
+        random_points,
+        properties={"feature1": feature1, "feature2": feature2},
+        name="points2",
+    )
 
     widget = FeaturesHistogramWidget(viewer)
     viewer.window.add_dock_widget(widget)
 
     # Check whether changing the selected key changes the plot
-    widget._set_axis_keys('feature1')
+    widget._set_axis_keys("feature1")
     fig1 = deepcopy(widget.figure)
 
-    widget._set_axis_keys('feature2')
+    widget._set_axis_keys("feature2")
     assert_figures_not_equal(widget.figure, fig1)
 
     # check whether selecting a different layer produces the same plot